ArticleCureus2025
Comparison of Hadlock and INTERGROWTH-21st Growth Charts for Estimating Fetal Weight in the Third Trimester via Ultrasound.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Predictive Accuracy of Ultrasound Biometry and Maternal Factors in Identifying Large-for-Gestational-Age Neonates at 30-34 Weeks.Diagnostics (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction Early identification of growth abnormalities is crucial in preventing fetal death and ensuring optimal care for fetuses requiring close monitoring and timely delivery. Sonographic estimation of fetal weight must be quantified in centiles according to gestational age reference charts to assess fetal growth velocity and size. These measurements can categorize the fetus as small, appropriate, or large for gestational age. Recent discussions have highlighted the increasing need for evidence-based guidelines for selecting the most suitable growth charts. Objectives The objective of this study is to compare the diagnostic accuracy of Hadlock versus INTERGROWTH 21st (IG 21) growth charts for estimating fetal weight. Methods This is a prospective cohort study conducted on 277 pregnant women with singleton fetuses at 32-34 weeks of gestation in the Department of Obstetrics and Gynecology at a tertiary care referral center in North India. The participants underwent two ultrasound scans, first at the 32- to 34-week period of gestation (POG) and then a second ultrasound scan at the 38- to 40-week POG or one week before delivery. Labor and delivery outcomes were noted, and neonatal weight was recorded. The mother and neonate were observed for any perinatal complications till discharge from the hospital. Results The mean POG at the first scan was 33.00 weeks. At the first scan, the mean of estimated fetal weight (EFW) by Hadlock was 1966.96 g. The mean of EFW by IG 21 was 1861.50 g. There was a strong positive correlation between EFW by IG 21 and EFW by Hadlock in the first scan, and this correlation was statistically significant (r = 0.78, p ≤ 0.001). The mean POG at the second scan was 38.63 weeks. The mean of EFW in the second scan by Hadlock was 2905.24 g. The mean of EFW in the second scan by IG 21 was 2829.32 g. There was a strong positive correlation between EFW by IG 21 and EFW by Hadlock in the second scan, and it was statistically significant (r = 0.71, p ≤ 0.001). For every 1 g increment in EFW on the second scan by Hadlock, the birth weight (g) increases by 0.86 g. For every 1 g increment in EFW on the second scan by IG 21, the birth weight increases by 0.82 g. Conclusion Both Hadlock and IG 21 charts have a fair agreement with EFW in early and late trimester scans. Hence, either one of the two can be used for fetal biometry.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.